GGUF quantizations of the CED family (Consistent Ensemble Distillation, Xiaomi) - SOTA-tier audio-tagging models that classify everyday sounds (baby cry, footsteps, glass breaking, alarms, dog bark,...) into the 527-class AudioSet ontology. These files run with ced.cpp, a standalone C++/ggml port (no Python, no PyTorch at inference), and with LocalAI via the ced backend. Converted from the mispeech/ced- checkpoints (Apache-2.0). CED is a plain AST/DeiT Vision Transformer over a log-mel spectrogram; the port is numerically equal to the PyTorch reference. One self-contained GGUF per size + quant (config, 527 labels, and the mel filterbank/window are all embedded). Pick by your accuracy/size…
This is the official repository for the paper "MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization". For more detailed information, we strongly recommend referring to https://github.com/tencent-ailab/MuQ and the paper).
Parameters—
Context—
Weights2.7 GB
Licensecc-by-nc-4.0
AccessOpen weights
Monthly Downloads93.2k
Model Card
This is the official repository for the paper "MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization". For more detailed information, we strongly recommend referring to https://github.com/tencent-ailab/MuQ and the paper). In this repo, the following models are released: - MuQ(see this link): A large music foundation model pre-trained via Self-Supervised Learning (SSL), achieving SOTA in various MIR tasks. - MuQ-MuLan(see this link): A music-text joint embedding model trained via contrastive learning, supporting both English and Chinese texts. To begin with, please use pip to install the official muq lib, and ensure that your python>=3.8: Using MuQ-MuLan to…
Excerpt from the card by MuQ, licensed cc-by-nc-4.0.
Identity and Version
- Repository
- OpenMuQ/MuQ-MuLan-large
- Publisher
- MuQ
- Task
- Audio classification
- Modality
- Audio
- Library
- Not stated by the source
- Parameters
- Not stated by the source
- Languages
- en, zh
- Revision
- 2e01c796b71dca71b45251384c04cd7b237c9020
- First published
- 2024-12-17
- Last updated
- 2025-08-21
Files and Weights
4 files, 2.7 GB in total. The weights are 1 file totalling 2.7 GB in bin.
Weights1 file · 2.7 GB
Configuration1 file · 847 B
Documentation1 file · 4.4 KB
Repository1 file · 1.5 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| pytorch_model.bin | Weights | 2.7 GB | d42ae3f7cb9b |
| config.json | Configuration | 847 B | — |
| README.md | Documentation | 4.4 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- cc-by-nc-4.0
- Access
- Open weights, no gate
- Download size
- 2.7 GB
Download from MuQ
Released by MuQ through its official repository on Hugging Face. Read the license.
Built From
- Described by arXiv:2501.01108
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 2.7 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About MuQ-MuLan-large
Can I use MuQ-MuLan-large commercially?
Not without separate permission. MuQ-MuLan-large is released under Creative Commons Attribution-NonCommercial 4.0. CC BY-NC 4.0 permits sharing and adapting with credit for non-commercial purposes only. Commercial use needs separate permission from the rights holder.
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